Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 3 No 3 (2019): Maret 2019

Implementasi Algoritme Extreme Learning Machine (ELM) Untuk Prediksi Harga Emas Bagi Investor

Laila Restu Setiya Wati (Fakultas Ilmu Komputer, Universitas Brawijaya)
Imam Cholissodin (Fakultas Ilmu Komputer, Universitas Brawijaya)
Putra Pandu Adikara (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
10 Jan 2019

Abstract

There are a variety of investing one is gold. Plain gold made into a long-term investment, since the benefits of investing in gold is easily exchanged, no taxes and investing in gold because it has properties that are resistant to inflation. The nature of the resistance it that make interested investors to invest. Tough investors get information mengenahi changes up and down the gold price with the issue so that investors desperately need information for predictions as a consideration of when to buy and sell gold in order to get the profit in accordance with the perancanaan that have been made. This research uses algorithms Extreme Learning Machine (ELM) for predicting the price of gold. Testing in predicting model algorithms so that the gold price to ELM produce gold price predictions with optimal. Test analysis results by using the best of previous testing variables produce the Mean Absolute Percentage Error (MAPE) of 0.29%, best of MAPE generated less than 10% indicates that Extreme Learning Machine (algorithms ELM) good to be implemented in doing the predictions of the gold price.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...